ml-primitive-decoder

【开发与工程】Decomposes any ML construct (attention, layer norm, softmax, convolution, dropout, contrastive loss, diffusion step, gradient descent update, cross-entropy) into the small set of linear-algebra primitives it's built from, then explains why those primitives produce the observed behavior. Includes an ablation thought experiment that asks "what would br…

独立 GitHub 快照 · 自动分类 · 以原作者文档为准